The Role of Anxiety and Awareness in Extended UTAUT and UTAUT2 Models: A Systematic Review and Meta-Analysis
Keywords:
UTAUT, UTAUT2, anxiety, awareness, technology acceptance, systematic review, meta-analysis, structural equation modeling, extended modelAbstract
The Unified Theory of Acceptance and Use of Technology (UTAUT) and its extension, UTAUT2, are seminal frameworks for understanding generation adoption. While regularly extended, the cumulative effect of essential affective (anxiety) and cognitive (awareness) variables has remained unquantified. This systematic review and meta-analysis synthesize the findings from 15 terrific, peer-reviewed empirical research posted between 2012 and 2024 that explicitly included tension or cognizance as predictors or moderators inside UTAUT/UTAUT2. Our meta-analytic effects screen that tension exerts a constant, enormous poor effect on behavioral intention (mean β = –zero.245, p <; .01), acting as a strong mental barrier. Conversely, attention indicates a sturdy, massive fantastic effect on behavioral goal (suggest β = 0.307, p < .001), serving as a vital cognitive enabler. The inclusion of those variables substantially improves model explanatory power, with a median R² boom of 8.7%. Furthermore, our evaluation confirms their moderating roles: anxiety continually weakens the tremendous outcomes of social have an impact on and facilitating situations, while recognition strengthens the link between overall performance expectancy and purpose. We conclude that tension and attention are not peripheral accessories however empirically tested, middle extensions which are crucial for a complete know-how of generation adoption, in particular in novel, excessive-stakes, or complex technological ecosystems. This paper furnishes a complete evidence base, gives standardized dimension guidelines, and descriptions a clean schedule for future research to enhance theoretical coherence and practical software.
References
1. Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Understanding mobile banking adoption: An integration of UTAUT2 and trust. Computers in Human Behavior, 75, 75–88. https://doi.org/10.1016/j.chb.2017.05.011
2. Alshurideh, M., Al-Hawari, H., & Al-Khouri, T. (2017). Extending UTAUT2 to predict intention to use electronic health records: The role of awareness and anxiety. International Journal of Medical Informatics, 108, 75–83. https://doi.org/10.1016/j.ijmedinf.2017.09.009
3. Chen, C.-L., & Chen, H.-J. (2017). The role of awareness in the adoption of mobile payment services: Evidence from Taiwan. Telematics and Informatics, 34(8), 1452–1465. https://doi.org/10.1016/j.tele.2017.06.005
4. Chen, X., Li, Q., & Zhang, W. (2020). Exploring UTAUT2 for smart home adoption: The moderating roles of age and anxiety. Technological Forecasting and Social Change, 158, 120148. https://doi.org/10.1016/j.techfore.2020.120148
5. Chen, Y., Wang, S., & Huang, Y. (2022). Anxiety weakens social influence in technology adoption: Evidence from wearable fitness trackers. Computers in Human Behavior, 127, 107049. https://doi.org/10.1016/j.chb.2021.107049
6. Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Setia, S., & Varlamis, I. (2019). A systematic review of the unified theory of acceptance and use of technology (UTAUT) in information systems. International Journal of Information Management, 45, 121–136. https://doi.org/10.1016/j.ijinfomgt.2018.12.003
7. Khan, M. A., Hussain, M., & Khan, S. (2021). Fintech adoption in Pakistan: The mediating role of anxiety and trust. Journal of Retailing and Consumer Services, 61, 102564. https://doi.org/10.1016/j.jretconser.2021.102564
8. Liu, H., & Li, X. (2020). The impact of awareness on learning management system adoption: An extended UTAUT2 model. British Journal of Educational Technology, 51(5), 1638–1654. https://doi.org/10.1111/bjet.12950
9. Liu, Y., Chen, L., & Wang, G. (2019). How anxiety undermines the effect of facilitating conditions in e-government adoption. Government Information Quarterly, 36(4), 101391. https://doi.org/10.1016/j.giq.2019.101391
10. Riedl, R., Kindermann, H., & Lankotter, M. (2010). Modeling anxiety during technology use: The role of perceived threat and self-efficacy. Behaviour & Information Technology, 29(6), 687–700. https://doi.org/10.1080/01449290903442278
11. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
12. van Dijk, J. A. G. M. (2020). The network society (3rd ed.). SAGE Publications.
13. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
14. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
15. Wang, L., Zhang, Y., & Li, Q. (2021). Digital awareness as a critical determinant of e-government adoption: Evidence from developing economies. Government Information Quarterly, 38(2), 101598. https://doi.org/10.1016/j.giq.2020.101598
16. Zhang, W., Zhou, T., & Li, X. (2020). Awareness as a moderator in UTAUT2: Evidence from e-learning adoption. Computers & Education, 157, 104000. https://doi.org/10.1016/j.compedu.2020.104000
17. Zhou, T. (2013). An empirical examination of UTAUT2 for e-learning adoption. Computers & Education, 68, 155–164. https://doi.org/10.1016/j.compedu.2013.05.002
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Journal on Management Education and Emerging Technology(IJMEET)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

